diff toolboxes/FullBNT-1.0.7/netlab3.3/knn.m @ 0:cc4b1211e677 tip

initial commit to HG from
Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/netlab3.3/knn.m	Fri Aug 19 13:07:06 2016 +0200
@@ -0,0 +1,34 @@
+function net = knn(nin, nout, k, tr_in, tr_targets)
+%KNN	Creates a K-nearest-neighbour classifier.
+%
+%	Description
+%	NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
+%	with input dimension NIN, output dimension NOUT and K neighbours.
+%	The training data is also stored in the data structure and the
+%	targets are assumed to be using a 1-of-N coding.
+%
+%	The fields in NET are
+%	  type = 'knn'
+%	  nin = number of inputs
+%	  nout = number of outputs
+%	  tr_in = training input data
+%	  tr_targets = training target data
+%
+%	See also
+%	KMEANS, KNNFWD
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+
+net.type = 'knn';
+net.nin = nin;
+net.nout = nout;
+net.k = k;
+errstring = consist(net, 'knn', tr_in, tr_targets);
+if ~isempty(errstring)
+  error(errstring);
+end
+net.tr_in = tr_in; 
+net.tr_targets = tr_targets;
+